Data fusion analysis of a surface direct-current resistivity and well pick data set

• Main Authors: Clayton, E. A., Lewis, R. E.
• Other Authors: United States. Department of Energy.
• Format: Report
• Language: English
• Published: Pacific Northwest Laboratory 1995
• Subjects: Data Analysis; Data Acquisition; Remedial Action; Hydrology; Data Processing; Computer Networks; Geologic Models; 05 Nuclear Fuels; Wells; Performance Testing; Computer Graphics; Soils; Verification; Computer Codes; Least Square Fit; Hanford Reservation; Coleman; Eielson; Fairbanks; Pacific; permafrost; Alaska
• Online Access: https://doi.org/10.2172/113988; https://digital.library.unt.edu/ark:/67531/metadc625684/

Pacific Northwest Laboratory (PNL) has been tasked with testing, debugging, and refining the Hanford Site data fusion workstation (DFW), with the assistance of Coleman Research Corporation (CRC), before delivering the DFW to the environmental restoration client at the Hanford Site. Data fusion is the mathematical combination (or fusion) of disparate data sets into a single interpretation. The data fusion software used in this study was developed by CRC. This report discusses the results of evaluating a surface direct-current (dc) resistivity and well-pick data set using two methods: data fusion technology and commercially available software (i.e., RESIX Plus from Interpex Ltd., Golden, Colorado), the conventional method of analysis. The report compares the two technologies; describes the survey, procedures, and results; and includes conclusions and recommendations. The surface dc resistivity and well-pick data set had been acquired by PNL from a study performed in May 1993 at Eielson Air Force Base near Fairbanks, Alaska. The resistivity survey data were acquired to map the top of permafrost in support of a hydrogeologic study. This data set provided an excellent opportunity to test and refine the dc resistivity capabilities of the DFW; previously, the data fusion software was untested on dc resistivity data. The DFW was used to evaluate the dc resistivity survey data and to produce a 3-dimensional earth model of the study area.